PROF. DR. TEH YING WAH

As a highly accomplished computer scientist and data mining expert with over 35 years of experience, I have demonstrated exceptional leadership, expertise, and vision in the field. Over the course of my career, I have achieved numerous successes and made significant contributions to the industry. I began as an entry-level computer programmer in 1988 and advanced to become a Professor of Data Mining at the Faculty of Computer Science and Information Technology at the University of Malaya. I obtained my tertiary academic qualifications from Oklahoma City University and the University of Malaya, and I have published more than 90 academic papers in top-tier journals, including Information Fusion and the International Journal of Information Management. I have a remarkable H-index and number of citations in Web of Science, Scopus, and Google Scholars databases, and I have supervised numerous students at all levels of study. My areas of research include data warehouse, data mining, deep learning, IoT, activity recognition, wearable sensors, accelerometers, heart arrhythmia, electrocardiograph, supraventricular premature beat, multivariate time series, edge computing, task scheduling, data streams, mobile computing, speaker verification, language recognition, clustering algorithms, MapReduce, stock market, and sentiment analysis. I have received several grants of more than RM one million, including public, international, and private grants, and I have completed two commercial data science projects for Petronas GTD and Air Liquide. I serve as an Associate Editor for Human-Media Interaction - Frontiers in Psychology and a reviewer for several high-quality journals. I am also an Expert Advisory Panel for Master of Science (Data Science) Degree Program at UTP, Programme Advisory Panel for Bachelor of Business (Honors) in Business Analytics at TARUC, and an external assessor of Swinburne University of Technology (BS of Computer Science program). Additionally, I am an External Assessor for Programme Master Sciences (Computer and Information Engineering), IIUM, and a technical assessor of Swiss National Science Foundation. I have been teaching data mining since 2002, and have produced many highly qualified data scientists and Ph.D. graduates who have gone on to work for top companies like IBM, Amazon Web Services, and Google. As a highly respected and accomplished computer scientist, I have demonstrated exceptional dedication to the industry, and I am confident that my expertise, leadership, and vision make me a highly qualified computer scientist.

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PROF. DR. NORLISAH BINTI MOHD RAMLI

  Dr. Norlisah is a Visiting Professor of Radiology, at the Department of Biomedical Imaging and is currently a consultant neuroradiologist at Subang Jaya Medical Centre. She graduated from the University of Malaya with an MBBS and obtained her FRCR in London. She has received her radiology training at Queens Medical Centre, Nottingham, and has her neurointerventional training at Bicetre Hospital in Paris. Her main research contribution has been in neuroimaging. She was one of the recipients of the Merdeka Awards in 2008. Professor Dr Norlisah has published over 200 papers in peer-reviewed journals and oversees over 100 scientific papers. She has also organized and directed several workshops on neuroradiology imaging and serves as an expert team member for the IAEA.  She is currently the Past President of the College of Radiology, Academy of Medicine of Malaysia (COR), and  Malaysian Society of Radiologists (MyRad), and also currently serves as Executive Councilor of the Asian Oceanian Society of Radiology

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DR. AHMAD BIN YUSSUF

Ahmad Yussuf is a Senior Lecturer in the Islamic Education Programme at the Academy of Islamic Studies, University of Malaya in Kuala Lumpur, Malaysia. He holds a Ph.D. in Islamic Education from the Faculty of Sharia and Islamic Studies at Yarmouk University in Jordan. Additionally, he obtained a Master's degree and a Licentiate degree, both in Usuluddin (Quranic Exegesis and Sciences), from al-Azhar University in Egypt. His expertise lies in the field of Islamic Education, Teaching al-Quran, Quranic Studies, and Educational Technology. Furthermore, he has a keen interest in Arabic language studies, particularly in teaching Arabic to non-native speakers, and has experience in editing Arabic-Islamic manuscripts. Beyond his specialization in Islamic Studies and Islamic Education, Ahmad Yussuf has a passion for Information and Communication Technology, particularly web-based database programming. He has designed and developed a system utilizing web-based applications for managing teaching practicum using PHP scripting language and MySQL database. Additionally, he holds certifications as a Microsoft Innovative Educator (MIE), Microsoft Educator Trainer, Adobe Creative Educator, and Apple Teacher.  

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